code: def forward(self, x):
      x = self.features(x)
      x = x.view([int(x.size(0)), 256 * 6 * 6])  # << important fix
      x = self.classifier(x)
      return x
  
file_path: pytorch2keras/tests/models/alexnet.py
imports: import numpy
  import torch
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torchvision
label_desc: Use image node_id 2 for calling the AlexNet obj's underlying member method code with example usage: obj.forward(x) and returns: x